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Analyzing Data with PowerBI (20778)

COURSE TYPE

Practitioner

Course Number

8430

Duration

3 Days

View Schedule

This course provides students with the knowledge and skills analyze data with Power BI.

The MOC On-Demand courses are available for 90 days and students need to use Office 365 to complete the lab work. Students can utilize the trial for Office 365 which lasts for 30 days from when the trial is activated. It is recommended that students using the trial of Office 365 plan their lab work accordingly. The labs provide instructions on how to register for this account.

You Will Learn How To

  • Describe key features of a self-service BI solution
  • Describe Power BI and its data sources
  • Model, shape, and combine data
  • Describe Power BI data visualizations

Important Course Information

Requirements:

  • This course requires that you meet the following prerequisites:
    • Basic knowledge of the Microsoft Windows operating system and its core functionality
    • Basic knowledge of data warehouse schema topology (including star and snowflake schemas)
    • Some exposure to basic programming concepts (such as looping and branching)
    • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
    • Familiarity with Microsoft Office applications – particularly Excel

Redeem Your Microsoft SATVs:

  • This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.

Course Outline

  • Module 1: Introduction to Self-Service BI Solutions

In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution.

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Lab: Exploring an enterprise BI solution

After completing this module, you will be able to:

  • Describe key concepts in business intelligence
  • Describe key concepts in data analysis
  • Describe key concepts in data visualization
  • Describe the rationale for self-service BI
  • Describe considerations for self-service BI
  • Describe how Microsoft products can be used to implement a self-service BI solution

  • Module 2: Introducing Power BI

This module introduces Power BI.

Lessons

  • Power BI
  • The Power BI service
  • Power BI mobile apps

Lab: Cresting a Power BI dashboard

After completing this module, you will be able to:

  • Describe Power BI
  • Describe the Power BI Service
  • Implement Tenant Management
  • Describe Power BI mobile apps
  • Create a simple dashboard

  • Module 3: Power BI Data

This module describes Power BI data sources.

Lessons

  • Using Excel as a Power BI data source
  • Using databases as a Power BI data source
  • The Power BI service

Lab: Import data into Power BI

After completing this module, you will be able to:

  • Use Excel as a Power BI data source
  • Use databases as a Power BI data source and describe the R language
  • Configure the Power BI Service

  • Module 4: Shaping and Combining Data

This module describes how to shape and combine data.

Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data

Lab: Shaping and combining data

After completing this module, you will be able to:

  • Create Power BI Desktop queries
  • Shape data
  • Combine data

  • Module 5: Modelling Data

This module describes how to model data in Power BI.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

Lab: Modelling data

After completing this module, you will be able to:

  • Configure the Power BI Service
  • Create Relationships
  • Write simple DAX queries
  • Create calculations and measures

  • Module 6: Interactive Data Visualizations

This module describes Power BI visualizations.

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution

Lab: Creating a Power BI report

After completing this module, you will be able to:

  • Use Power BI Desktop to create interactive data visualizations
  • Describe the management of a Power BI solution

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Course Schedule

Attend this live, instructor-led course In-Class or Online via AnyWare.

Hassle-Free Enrollment: No advance payment required.
Tuition due 30 days after your course.

Apr 11 - 13 Toronto/AnyWare Enroll Now

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Live, Online via AnyWare
In-Class

May 3 - 5 AnyWare Enroll Now

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Jun 7 - 9 Herndon, VA/AnyWare Enroll Now

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In-Class

Jun 28 - 30 New York/AnyWare Enroll Now

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In-Class

Aug 2 - 4 Toronto/AnyWare Enroll Now

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In-Class

Aug 23 - 25 AnyWare Enroll Now

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Sep 20 - 22 Ottawa/AnyWare Enroll Now

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Nov 1 - 3 Herndon, VA/AnyWare Enroll Now

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In-Class

Nov 29 - Dec 1 Toronto/AnyWare Enroll Now

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In-Class

Dec 20 - 22 AnyWare Enroll Now

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Jan 3 - 5 New York/AnyWare Enroll Now

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Bring this Course to Your Organization and Train Your Entire Team
For more information, call 1-888-843-8733 or click here

Tuition

Standard

$2650

Government

$2355

Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

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Questions

Call 1-888-843-8733 or click here »

An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.

Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm


FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will:

  • Have a record of your growth and learning results.
  • Bring proof of your progress back to your organization
  • Earn credits toward industry certifications (if applicable)
  • Make progress toward one or more Learning Tree Specialist & Expert Certifications (if applicable)

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